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Mendeley readers
Attention Score in Context
| Title |
Grouping of visual objects by honeybees
|
|---|---|
| Published in |
Journal of Experimental Biology, September 2004
|
| DOI | 10.1242/jeb.01155 |
| Pubmed ID | |
| Authors |
Shaowu Zhang, Mandyam V. Srinivasan, Hong Zhu, Jason Wong |
| Abstract |
Recent work has revealed that monkeys as well as pigeons are able to categorise complex visual objects. We show here that the ability to group similar, natural, visual images together extends to an invertebrate - the honeybee. Bees can be trained to distinguish between different types of naturally occurring scenes in a rather general way, and to group them into four distinct categories: landscapes, plant stems and two different kinds of flowers. They exhibit the same response to novel visual objects that differ greatly in their individual, low-level features, but belong to one of the four categories. We exclude the possibility that they might be using single, low-level features as a cue to categorise these natural visual images and suggest that the categorisation is based on a combination of low-level features and configurational cues. |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 4% |
| United States | 4 | 4% |
| China | 2 | 2% |
| United Kingdom | 1 | 1% |
| Spain | 1 | 1% |
| Serbia | 1 | 1% |
| Unknown | 80 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 32% |
| Student > Ph. D. Student | 20 | 22% |
| Student > Bachelor | 9 | 10% |
| Professor > Associate Professor | 6 | 6% |
| Professor | 5 | 5% |
| Other | 15 | 16% |
| Unknown | 8 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 52 | 56% |
| Environmental Science | 5 | 5% |
| Neuroscience | 5 | 5% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Physics and Astronomy | 3 | 3% |
| Other | 13 | 14% |
| Unknown | 12 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 August 2012.
All research outputs
#4,835,823
of 25,373,627 outputs
Outputs from Journal of Experimental Biology
#2,739
of 9,330 outputs
Outputs of similar age
#10,373
of 69,942 outputs
Outputs of similar age from Journal of Experimental Biology
#7
of 37 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,330 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 69,942 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.